Senior Data Scientist | TS/SCI Clearance, Mission ML

Prescient Edge; Florida; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary with bonus

Comprehensive healthcare benefits

Retirement plan with no vesting

Tuition reimbursement

Career development & networking

Positive work environment

Job summary

Prescient Edge is seeking a Senior Data Scientist to design and deploy advanced ML models for forecasting, risk assessment, and decision support for a federal government client. The role emphasizes data provenance, lineage documentation, and governance compliance.

Candidates should have expertise in Python, TensorFlow, PyTorch, and production ML deployment within distributed data environments. Experience with geospatial data, model explainability, and bias mitigation is required, along with

Qualifications

• Master’s degree in Data Science, ML, Statistics, or related field or nine years of equivalent AI/ML experience.
• Certifications such as Google Professional ML Engineer, Azure Data Scientist, or TensorFlow Developer are desirable but not required.

Responsibilities

• Design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
• Conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for governance compliance.
• Submit the Data Provenance & Lineage Report summarizing transformation workflows, feature engineering processes, and audit compliance.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Deep learning

Geospatial data

Data provenance tracking

Model explainability

Bias mitigation

Production deployment

Distributed computing

Databricks

Apache Spark

Education

Master’s degree in Data Science/ML/Statistics

9+ years equivalent AI/ML experience

Google Professional ML Engineer / Azure Data Scientist / TensorFlow Developer certs

Tools

Databricks

Apache Spark

Job description

Prescient Edge is seeking a Senior Data Scientist to design and deploy advanced ML models for forecasting, risk assessment, and decision support for a federal government client. The role emphasizes data provenance, lineage documentation, and governance compliance.

Candidates should have expertise in Python, TensorFlow, PyTorch, and production ML deployment within distributed data environments. Experience with geospatial data, model explainability, and bias mitigation is required, along with